VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients
2022 · Scientific Data · 194 citations
https://doi.org/10.1038/s41597-022-01411-5
H
Hyung‐Chul Lee
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Hyung‐Chul Lee is an academic researcher from Seoul National University Hospital. The author has contributed to research in topics: Hemodynamic Monitoring and Therapy & Cardiac, Anesthesia and Surgical Outcomes & Anesthesia and Sedative Agents. The author has an h-index of 33, co-authored 227 publications.
ORCID: 0000-0003-0048-7958Papers by this author
worksMulti-center validation of machine learning model for preoperative prediction of postoperative mortality
2022 · npj Digital Medicine · 45 citations
https://doi.org/10.1038/s41746-022-00625-6
Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation
2024 · Critical Care · 44 citations
https://doi.org/10.1186/s13054-024-04866-7
INSPIRE, a publicly available research dataset for perioperative medicine
2024 · Scientific Data · 40 citations
https://doi.org/10.1038/s41597-024-03517-4
Comparative effectiveness of interventions for managing postoperative catheter-related bladder discomfort: a systematic review and network meta-analysis
2019 · Journal of Anesthesia · 30 citations
https://doi.org/10.1007/s00540-018-2597-2
A novel Vascular Leak Index identifies sepsis patients with a higher risk for in-hospital death and fluid accumulation
2022 · Critical Care · 30 citations
https://doi.org/10.1186/s13054-022-03968-4
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